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Aleksandr [31]
2 years ago
10

Please answer 6 and 7

Mathematics
1 answer:
sleet_krkn [62]2 years ago
8 0

Answer:

ok aaj SGD Hv the best of my friends in a couple days of a sudden in

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Check all that apply. Sec θ is undefined for θ = ____. A. π. B. π/2. C. 0. D. 3π/2.
Zanzabum
Secant is a trigonometric function that is the reciprocal of the function cosine. This means that in a cartesian plane, the value of secant is equal to r / x. For the values to be undefined, x should be zero. The angles are π/2 and 3π/2. The answers are B and D. 
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What is the vale of ■ in this equation?<br>7×9=(7×10)-(7×■)
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The answer is 1 because 7*9 is 63
7*10=70 70-7=63
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Given the equation 25x^2y^2-40xy+16=0, find the value of xy.
Volgvan

Answer:

Not rlly sure, might be x=4/5y??? i dont know

4 0
2 years ago
Solve the equation<br> z/6 = 1/6<br><br>A. z= -36<br>B. z= 0<br>C. z= 1<br>D. z= 36
Elan Coil [88]
B                                                                                          B               B

B is the correct answer



3 0
2 years ago
In Applied Life Data Analysis (Wiley, 1982), Wayne Nelson presents the breakdown time of an insulating fluid between electrodes
ale4655 [162]

Answer:

The sample mean is \bar{x}=14.371 min.

The sample standard deviation is \sigma = 18.889 min.

Step-by-step explanation:

We have the following data set:

\begin{array}{cccccccc}0.15&0.82&0.81&1.44&2.70&3.28&4.00&4.70\\4.96&6.49&7.25&8.03&8.40&12.15&31.89&32.47\\33.79&36.80&72.92&&&&&\end{array}

The mean of a data set is commonly known as the average. You find the mean by taking the sum of all the data values and dividing that sum by the total number of data values.

The formula for the mean of a sample is

\bar{x} = \frac{{\sum}x}{n}

where, n is the number of values in the data set.

\bar{x}=\frac{0.15+0.82+0.81+1.44+2.7+3.28+4+4.7+4.96+6.49+7.25+8.03+8.4+12.15+31.89+32.47+33.79+36.80+72.92}{19}\\\\\bar{x}=14.371

The standard deviation measures how close the set of data is to the mean value of the data set. If data set have high standard deviation than the values are spread out very much. If data set have small standard deviation the data points are very close to the mean.

To find standard deviation we use the following formula

\sigma = \sqrt{ \frac{ \sum{\left(x_i - \overline{x}\right)^2 }}{n-1} }

The mean of a sample is  \bar{x}=14.371.

Create the below table.

Find the sum of numbers in the last column to get.

\sum{\left(x_i - \overline{X}\right)^2} = 6422.0982

\sigma = \sqrt{ \frac{ \sum{\left(x_i - \overline{x}\right)^2 }}{n-1} }       = \sqrt{ \frac{ 6422.0982 }{ 19 - 1} } \approx 18.889

7 0
3 years ago
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